Should you trust data-based arguments? How can data go terribly wrong? In Calling Bullshit, Carl T. Bergstrom and Jevin D. West investigate how bullshit is created. They assert that it happens when people use faulty data as a basis for their arguments. Specifically, they say selection bias can lead to bullshit because it justifies faulty conclusions based on unrepresentative samples. Read more to understand how selection bias in statistics can lead to harmful misinformation.
Selection Bias in Statistics: 2 Ways Faulty Data Creates Bullshit
